2 citations · 4 across the 11 of their papers we have counts for
12 papers
Optimizing Sparse Outcomes Through Dense Behavioral Signals via Value-Guided Preference Distillation
Ziyi Zhu, Daniel R. Cahn, Thomas D. Hull +4
Aligning multi-turn dialogue agents is usually framed as matching turn-level human preferences, yet direct optimization of long-term outcomes is often ineffective and prone to rewa…
Healthcare Utilization, Chronic Condition Management, and Workplace Functioning Among Users of a Purpose-Built Mental Health AI (Ash): Cross-Sectional Study
Kristen M. Van Swearingen, Thomas D. Hull, Jeffrey Swigert +1
Mental health challenges can exacerbate physical symptoms and complicate management of chronic conditions. Purpose-built artificial intelligence (AI) tools may offer scalable suppo…
Engagement Phenotypes for a Sample of 102,684 AI Mental Health Chatbot Users and Dose-Response Associations with Clinical Outcomes
Emma C. Wolfe, Ting Su, Olivier Tieleman +3
Background: Conversational AI chatbots are emerging as scalable mental health tools, but little is known about real world engagement or its relationship to clinical outcomes. Objec…
Functional outcomes and naturalistic engagement with a purpose-built conversational AI for mental health (Ash)
Kristen M. Van Swearingen, Thomas D. Hull, Karthik V. Sarma +1
Background: Conversational AI chatbots designed for mental health may offer an accessible, scalable avenue for supporting psychological well-being, yet prior evaluations have large…
Fine-tuning LLMs for Passive Depression Severity Estimation from AI Mental Health Dialogue
Olivier Tieleman, Ziyi Zhu, Ting Su +3
Depression is the leading cause of disability worldwide, and early detection of symptom change is essential for timely intervention. Validated instruments such as the Patient Healt…
Talking to a Human as an Attitudinal Barrier: A Mixed Methods Evaluation of Stigma, Access, and the Appeal of AI Mental Health Support
Caitlin A. Stamatis, Emma C. Wolfe, Matteo Malgaroli +1
Background: Many people who could benefit from therapy do not receive it. Conversational AI is increasingly used for mental health support, yet it is unclear which barriers AI help…
Language Markers of Emotion Flexibility Predict Depression and Anxiety Treatment Outcomes
Benjamin Brindle, George A. Bonanno, Thomas Derrick Hull +2
Predicting treatment non-response for anxiety and depression is challenging, in part because of sparse symptom assessments in real-world care. We examined whether passively capture…
Beyond Simulations: What 20,000 Real Conversations Reveal About Mental Health AI Safety
Caitlin A. Stamatis, Jonah Meyerhoff, Richard Zhang +3
Mental-health AI safety is typically evaluated with small, simulation-based benchmarks that may not reflect the linguistic and contextual diversity of deployment. We pair four benc…
DIAL: Direct Iterative Adversarial Learning for Realistic Multi-Turn Dialogue Simulation
Ziyi Zhu, Olivier Tieleman, Caitlin A. Stamatis +5
Realistic user simulation is crucial for training and evaluating multi-turn dialogue systems, yet creating simulators that accurately replicate human behavior remains a significant…
Generative AI Purpose-built for Social and Mental Health: A Real-World Pilot
Thomas D. Hull, Lizhe Zhang, Caitlin A. Stamatis +2
Generative AI chatbots built for mental health could extend access to care, but evidence from real-world use is limited. We report a single-arm, naturalistic pilot of a foundation…
VISTA-SSM: Varying and Irregular Sampling Time-series Analysis via State Space Models
Benjamin Brindle, Thomas Derrick Hull, Matteo Malgaroli +1
We introduce VISTA, a clustering approach for multivariate and irregularly sampled time series based on a parametric state space mixture model. VISTA is specifically designed for t…
Deep Representations of First-person Pronouns for Prediction of Depression Symptom Severity
Xinyang Ren, Hannah A Burkhardt, Patricia A Areán +2
Prior work has shown that analyzing the use of first-person singular pronouns can provide insight into individuals' mental status, especially depression symptom severity. These fin…